Computer Science, asked by ektapardhi5641, 9 months ago

How to identify noise variables in data science models?

Answers

Answered by itzBrainlyBoy
3

Answer:

Noisy data is data that is corrupted, or distorted, or has a low Signal-to-Noise Ratio. Improper procedures (or improperly-documented procedures) to subtract out the noise in data can lead to a false sense of accuracy or false conclusions.

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Answered by Anonymous
0

Noisy data is data that is corrupted, or distorted, or has a low Signal-to-Noise Ratio. Improper procedures (or improperly-documented procedures) to subtract out the noise in data can lead to a false sense of accuracy or false conclusions.

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